Opinion about Glashammer App engine Web framework - python

I am having to look into some code and consider working in a Python framework called Glashammer.
I know and love Django. I have some experience with Appengine native framework and Django on Appengine.
I'd like to know from you that have used one or more of those, how Glahammer compares and contrasts with others. What are there any Pros and Cons and what else do I need to be aware of.

I am highly biased, because I am the Glashammer author. But the pros for me are:
Werkzeug-based framework removes much of the boilerplate in creating Werkzeug based
applications
Easy pluggability and high flexibility: 2 levels of plugins, Appliances which are reusable components and Bundles which are behavioural
modifiers.
Well unit tested
Documentation is not bad (for an open source project)
Versus something like Django, I would just have to say "Werkzeug-based, with a nicer plugin framework."
Did I mention the code is beautiful like a glowing orb of ... (oh maybe this is subjective)

After a bit of googling (and finding your question:) and half an hour of reading docs and code I can say that
Glashammmer is great because it:
is well-documented;
is lightweight and very flexible;
provides almost everything to rapidly build a complex web app -- unlike Werkzeug itself;
does not suffer from NIH syndrome which is arguably the Django's greatest wart;
does not impose database-related libraries and thus supports whatever storage one could use from Python. Django only supports a number of relational databases and assumes you are happy with them. Of course you can drop Django ORM but this renders admin -- the Django's strongest point -- useless;
appliances are the best way to define views I've seen so far.
Galashammer is not so great because it:
has shorter development history and much smaller community than Django's, which leads to:
inevitably lower quality of core code, and
inevitably lower quantity of contributed code;
makes use of some components that may be unstable (e.g. flatland which is in alpha stage, though it's an arbitrary label and may be irrelevant to quality; moreover, it's only used in glashammer.utils.yconfig);
does not provide an API to define models (e.g. some declarative wrapper with backends), so the "pluginability" of applications can be significantly weaker that in Django (applications will make too many assumptions about the environment).
Anyway, I think this framework is worth diving into.

Related

Python: Gateway ORM for Models from third party REST APIs

For working with data from a database inside of Python programmes, we generally use Object Relational Mappers, to translate database entries into python objects we can work with, with sqlAlchemy and Django Models probably being the most common and advanced ORMs.
Are there ORMs that do not connect to a database but to a third party (JSON) REST API instead? I would like to have a framework which lets me deal with Python objects to perform CRUD operations on the API. This should have all the well-established standard functionalities of an ORM, including Unit of Work and Lazy Loading. Actually, I would want my python code to be agnostic about whether the model is stored in a database or being fetched from a third party API.
It is hard for me to imagine that such a thing does not yet exist. But I am not able to find it. Maybe I am not knowing the right words to search for it?
ORMs Frameworks are frameworks that connect to databases. From your description you are talking about a DAO pattern, not about a Framework. This is a common programming pattern in other languages such as Java.
The right words or searches would be:
Search for the DAO pattern, what to expect from it and how to code it.
Check a couple of links on examples of DAO patterns in python such as this one, or this other one
Analyze your specific problem. You might not need all the code other solutions offer you. And you might be better off coding yourself your own class adjusted to your needs.
Remember KISS and DRY.
PS: Different languages use different paradigms, it is a common error to try to extrapolate patterns and coding uses from one language to another. So something that is solved in e.g. Java in a way, might not be the best option for Python. Keep that in mind too.

Python web-framework+db with the widest scalability?

I am building a project requiring high performance and scalability, entailing:
Role-based authentication with API-key licensing to access data of specific users
API exposed with REST (XML, JSON), XMLRPC, JSONRPC and SOAP
"Easily" configurable getters and setters to create APIs accessing the same data but with input/output in different schemas
A conservative estimate of the number of tables—often whose queries require joins—is: 20.
Which database type—e.g.: NoSQL or DBMS—key-value data store or object-relational database—e.g.: Redis or PostgreSQL—and web-framework—e.g. Django, Web2Py or Flask—would you recommend?
The bullet point description you have provided would adequately describe just about any data-backed web site on the planet with an API. You haven't provided anywhere near enough detail to provide meaningful recommendations.
Each of the technologies you have mentioned have strengths and weaknesses. However, those strengths and weaknesses are only relevant in the context of a specific problem.
The choice of RDBMS over NoSQL solution depends on the type of data you're intending to store, and the relationship between those data. It depends on the read/write patterns that you're expecting to see. It depends on the volume of data you're expecting to be storing and retrieving. It depends on the specific set of features you need your data store to have.
The choice of web framework depends on the complexity of what you're building, and the resources the community around those tools can provide to support you building your site. That means the community of libraries, and the community of developers who you can call on to support your development.
In short, there is no silver bullet. Work out your requirements, and pick the tool or tools that suit those requirements. The answer won't always be the same.
The web frameworks you mention they all scale the same and with 20 tables they probably have similar performance. The bottle neck will always be the database. You mention joins. That means you need a relational database. I would not over-engineer it. Make it work. Polish it. Than make it scale but adding extensive caching.

Do I need to use a web framework for a simple website?

The site won't be that complicated and will resemble a modern blog (users, messages, news and other similar features).
Do I need to use a framework for this, and if so, which is best?
Pyramid, Django?
You certainly don't need a webframework to create a simple website. Given that you're new to python and interested in building a python website, I imagine this implies: you're interested in learning python. If you're exclusively interested in learning django-python, there's no reason you can't jump in to django, as Ronak said, of course. He's right. It has a lot of documentation. But it will make for somewhat of an odd intro to python.
If I were in your shoes, I'd either start making some offline programs first, or consider an ultra-lightweight framework. Many would advocate web2py or pyramid for ultralightweight. I might consider going even lighter. Something like Bottle, where you're more or less just pairing functions with urls. This way you can at least do a bit of hacking/trial-and-error, instead of launching right into django.
It's not that django doesn't use python-- it will tell you many times that it is in fact 'just python.' But it's adapted at its core to be used in a large business setting (the chicago something or other online, i think). So it enforces various rules that are helpful in managing many different employees working on a project together. You may or may not wish for this kind of 'help.' It also means the scale of projects is assumed to be large and the time-horizon, limitless. If you want to see how a python dictionary works, you may not want to spend a long time configuring settings and creating the pseudo-static-typing you need for your database, and so on, just to execute your project and see a result.
I realize I will automatically get downvoted for this, but I believe it to be sound advice.
It depends on what kind of website you are planning to come up with. If the website is going to be just a set of static HTML files, then you don't really need a framework. But if your website will have lots of dynamic content that will get updated on regular basis, you should go with some framework. That will make your life maintaining the website much more simpler.
Django is the most popular framework written in Python. It has very good documentation and a strong community base too.
Go with Django - 10,000 Elvis fans can't be wrong.
Or roll your own from scratch. You'll learn a lot, know everything about how you site works, and better appreciate what a framework does for you.
As RonakG first pointed, it all depends on the kind of website you intend to have up and running. Actually, your question is too general for a single, definitive answer. There are more aspects to consider other than just being in python. For example, deadlines. This means considering the learning curve to achieve your results. If you don't have much time, a steep learning curve (time to learn it in order to develop it) is certainly something you will want to avoid. Perhaps you already develop in other languages, and need integration and/or migration support, need scalability, reusability, etc, etc, etc.
Another thing that is not so clear in your question is what you mean by "The site won't be that complicated and will resemble a modern blog (users, messages, news and other similar features)". If it really resembles just a modern blog, with users, messages and news, you could google for CMS (Content Management Systems). There are many options available, that could make you have your site up and running in almost no-time. All you'll have to learn is how to customize whatever it has to as to comply to your needs.
That said, if you prefer python, there are some good CMSs available which you can develop your site fast, like Plone. And if you prefer Django, there's Django CMS and there's the excellent Pinax project, which takes the django code reusability to deliver you sample fully customizable, complete websites.

Django, Turbo Gears, Web2Py, which is better for what?

I got a project in mind that makes it worth to finally take the plunge into programming.
After reading a lot of stuff, here and elsewhere, I'm set on making Python the one I learn for now, over C# or java. What convinced me the most was actually Paul Graham's excursions on programming languages and Lisp, though Arc is in the experimental stage, which wouldn't help me do this web app right now.
As for web app fast, I've checked out Django, Turbo Gears and Py2Web. In spite of spending a lot of time reading, I still have no clue which one I should use.
1) Django certainly has the nicest online presence, and a nicely done onsite tutorial, they sure know how to show off their thing.
2) Web2Py attracted me with its no-install-needed and the claim of making Django look complicated. But when you dig around on their website, you quickly find content that hasn't been updated in years with broken external links... There's ghosts on that website that make someone not intimately familiar with the project worry if it might be flatlining.
3) Turbo Gears ...I guess its modular too. People who wrote about it loved it... I couldn't find anything specific that might make it special over Django.
I haven't decided on an IDE yet, though I read all the answers to the Intellisense code completion post here. Showing extra code snippets would be cool too for noobs like me, but I suppose I should choose my web frame work first and then pick an editor that will work well with it.
Since probably no framework is hands down the best at everything, I will give some specifics on the app I want to build:
It will use MySQL, it needs register/sign-in, and there will be a load of simple math operations on data from input and SQL queries. I've completed a functional prototype in Excel, so I know exactly what I want to build, which I hope will help me overcome my noobness. I'll be a small app, nothing big.
And I don't want to see any HTML while building it ;-)
PS: thanks to the people running Stackoverflow, found this place just at the right moment too!
You should look at the web2py online documentation (http://web2py.com/book). It comes with a Role Based Access Control (the most general access control mechanism) and it is very granular, you can grant access for specific operation on specific records. It comes with a web based IDE but you can use WingIDE, Eclipse and PyCharm too. It comes with helper system that allows you to generate HTML without using HTML. Here is an example of a complete app that requires users to register/login/post messages:
db.define_table('message',Field('body'),Field('author',db.auth_user))
#auth.requires_login()
def index():
db.message.author.default=auth.user.id
db.message.author.writable=False
return dict(form=crud.create(db.message),
messages=db(db.message.id>0).select())
The web2py project is very active as you can see from the list of changes http://code.google.com/p/web2py/source/list
If you have web2py related questions I strongly suggest you join the web2py mailing list:
http://groups.google.com/group/web2py/topics
We are very active and your questions will be answered very quickly.
I have to say as not particularly skilled developer, the speed at which I have been able to create using web2py has blown my mind. In large part due to the amazing community and the core value Massimo has of making the framework accessible.
When I started I had written 0 lines of code in Python
Never heard of web2py
I've been at it seriously for about a month and have progressed (in my usual fashion) from asking questions that no one could answer (because they didn't make any sense) to coding for hours at a time without picking up a book or asking a question.
I'm really impressed.
I've had positive experiences with Django.
Built-In Authentication and easy to use extensions for registration
Very good documentation
You probable write your HTML templates mostly in base.html, then just use template inheritance (Note: You'll need to write at least a little bit of HTML)
In contrast to Turbogears, Django is more 'out-of-the-box'
I don't have any experience with web2py, but from my impression, it tries to do a little to much 'out-of-the-box'
If you decide to go with Django, make sure that you use its Generic Views. They will save you from writing lots of code, both Python and HTML.
Also, unless there is a very specific reason for you to use MySQL, I advise you to switch to PostgreSQL. Django is much more oriented towards PostgreSQL and it's a much better database anyway.
The online Django documentation is great, this is what put it apart from all the other frameworks. I also recommend the book Practical Django Projects by James Bennett
Django: Heard it has the best administrative
interface. But uses it's own ORM, i.e. doesn't use SQL-Alchemy.
Web2py: Didn't research this.
Turbogears2:
Uses SQL-Alchemy by default, uses Catwalk for admin
interface, but documentation isn't as
great.
I chose Turbogears2 because it uses popular components, so I didn't have to learn anything new...
I've used both web2py and RoR extensively, and while RoR has gotten a lot of popularity and support in the past few years, web2py is simpler, cleaner, less "magical", and yet also offers more (useful) out-of-the-box functionality. I'd say that web2py has more potential than RoR, but it is a relatively new framework and does yet not have the maturity of RoR. (Despite that, though, I'd choose web2py over RoR any day...)
If you "don't want to see any HTML while building it" then you can forget Django. It is not focused on "point-click-done," it is focused on pros going from concept to production in the shortest time possible. The hierarchical nature of the templating language can lead to some very clean overall site layouts. I use Django for all of my larger sites and I love it.
Although it's written in PHP, not Python, you might take a look at the major new version of WordPress that came out about 2 or 3 months ago. In 3.0 they have come a long way from being a "blogs only" environment and there are tons of ready-made templates for it. Of course if you want to tweak a template, well, there's that nasty old HTML again. I am considering using it for my smaller clients that can't deal with the admin of a dedicated server, etc., that tends to come with a Django site.
Update:
Ah, I missed the semi-joke -- I was up too early and that tends to make me tone deaf to humor. As far as using templates from existing sites, I have done this quite successfully with a couple of sites, both those that were static and those originally driven by well-written PHP scripts. I recommend a careful reading of the {% extends %} and {% include %} docs. Both take either a string literal or a variable. I have used the later method and it can be quite useful for a site that has strong hierarchy distinguished by style changes across branches.
It is also worth the time to understand the search order for templates -- it can be used to good effect, but it can be puzzling if you don't grok it. See the template-related items in the settings.py file for this and other useful goodies.

Is there any python web app framework that provides database abstraction layer for SQL and NoSQL?

Is it even possible to create an abstraction layer that can accommodate relational and non-relational databases? The purpose of this layer is to minimize repetition and allows a web application to use any kind of database by just changing/modifying the code in one place (ie, the abstraction layer). The part that sits on top of the abstraction layer must not need to worry whether the underlying database is relational (SQL) or non-relational (NoSQL) or whatever new kind of database that may come out later in the future.
There's a Summer of Code project going on right now to add non-relational support to Django's ORM. It seems to be going well and chances are good that it will be merged into core in time for Django 1.3.
You could use stock Django and Django-nonrel ( http://www.allbuttonspressed.com/projects/django-nonrel ) together to get a quite unified experience. Some limits apply, read docs carefully though, remembering Spolsky's "All abstractions are leaky".
Yo may also check web2py, they support relational databases and GAE on the core.
Regarding App Engine, all existing attempts limit you in some way (web2py doesn't support transactions or namespaces and probably many other stuff, for example). If you plan to work with GAE, use what GAE provides and forget looking for a SQL-NoSQL holy grail. Existing solutions are inevitably limited and affect performance negatively.
Thank you for all the answers. To summarize the answers, currently only web2py and Django supports this kind of abstraction.
It is not about a SQL-NoSQL holy grail, using abstraction can make the apps more flexible. Lets assume that you started a project using NoSQL, and then later on you need to switch over to SQL. It is desirable that you only make changes to the codes in a few spots instead of all over the place. For some cases, it does not really matter whether you store the data in a relational or non-relational db. For example, storing user profiles, text content for dynamic page, or blog entries.
I know there must be a trade off by using the abstraction, but my question is more about the existing solution or technical insight, instead of the consequences.

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